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A selection of relevant issues in applied stochastic frontier analysis

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  • Antonio Alvarez
  • Carlos Arias

Abstract

This paper provides a concise review of a broad set of concepts, models and estimation issues in the field of stochastic frontier analysis. The goal is to provide practitioners with a quick guide to some key ideas. The review is restricted to single-output models estimated by econometric methods. Among the conceptual issues are the interpretation and the paths to reduce inefficiency. The modelling and estimation parts deal with topics such as explaining inefficiency, time-varying inefficiency and firm heterogeneity.

Suggested Citation

  • Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    • Handle: RePEc:ove:journl:aid:10357
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/10357
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    1. Luis Orea & David Roibás & Alan Wall, 2004. "Choosing the Technical Efficiency Orientation to Analyze Firms' Technology: A Model Selection Test Approach," Journal of Productivity Analysis, Springer, vol. 22(1), pages 51-71, July.
    2. Álvarez, Antonio & Arias, Carlos & Kumbhakar, Subal, 2003. "Empirical Consequences of Direction Choice in Technical Efficiency Analysis," Efficiency Series Papers 2003/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    4. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    5. Antonio Alvarez & Carlos Arias, 2003. "Diseconomies of Size with Fixed Managerial Ability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 134-142.
    6. Raymond J. Kopp, 1981. "The Measurement of Productive Efficiency: A Reconsideration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(3), pages 477-503.
    7. Alvarez, Antonio & Arias, Carlos, 2004. "Technical efficiency and farm size: a conditional analysis," Agricultural Economics, Blackwell, vol. 30(3), pages 241-250, May.
    8. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    9. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    10. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    11. Antonio Alvarez & Peter Schmidt, 2006. "Is skill more important than luck in explaining fish catches?," Journal of Productivity Analysis, Springer, vol. 26(1), pages 15-25, August.
    12. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    13. Álvarez, Antonio & Arias, Carlos, 2013. "Are dairy farms becoming more intensive? Impact on farm efficiency," Efficiency Series Papers 2013/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
    15. Antonio Alvarez, 2007. "Decomposing regional productivity growth using an aggregate production frontier," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 431-441, June.
    16. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    17. Bill Greene with Antonio Alvarez (Univ. of Oviedo) & Carlos Arias (Univ. of Leon), 2004. "Accounting For Unobservables In Production Models: Management And Inefficiency," Econometric Society 2004 Australasian Meetings 341, Econometric Society.
    18. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    19. Gonzalez, Eduardo & Alvarez, Antonio, 2001. "From efficiency measurement to efficiency improvement: The choice of a relevant benchmark," European Journal of Operational Research, Elsevier, vol. 133(3), pages 512-520, September.
    20. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    21. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    22. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.
    23. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    24. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    25. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    26. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    27. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    28. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    29. Álvarez, Antonio & del Corral, Julio, 2006. "Separating Catch-up and Technical Change in Stochastic Frontier Models. A Monte Carlo Approach," Efficiency Series Papers 2006/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
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    1. Christian Grovermann & Sylvain Quiédeville & Adrian Muller & Florian Leiber & Matthias Stolze & Simon Moakes, 2021. "Does organic certification make economic sense for dairy farmers in Europe?–A latent class counterfactual analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 1001-1012, November.
    2. Bernardina Algieri & Antonio à lvarez, 2023. "Assessing the ability of regions to attract foreign tourists: The case of Italy," Tourism Economics, , vol. 29(3), pages 788-811, May.
    3. Bahta, Sirak & Baker, Derek, 2015. "Determinants of Profit Efficiency Among Smallholder Beef Producers in Botswana," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(3), pages 1-24, September.
    4. Stefano Mainardi, 2018. "Fishing vessel efficiency, skipper skills and hake pricetransmission in a small island economy," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 99(3-4), pages 215-251.
    5. Samuel Faria & Sofia Gouveia & João Rebelo, 2022. "Transient and persistent efficiency: an application to Portuguese wineries," Economics and Business Letters, Oviedo University Press, vol. 11(1), pages 16-23.
    6. Antonio Alvarez & Rafael Garduño-Rivera & Hector M. Nuñez, 2017. "Mexico's North-South divide: The regional distribution of state inefficiency 1988–2008," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 843-858, November.
    7. Alvarez, Antonio & Couce, Lorena & Trujillo, Lourdes, 2019. "Does Specialization Affect the Efficiency of Small-Scale Fishing Boats?," Efficiency Series Papers 2019/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Álvarez, Antonio & Garduño, Rafael & Núñez, Héctor, 2016. "Modelling the effect of crime on economic activity: The case of Mexican states," Efficiency Series Papers 2016/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. González, Eduardo & Cárcaba, Ana & Ventura, Juan, 2015. "How car dealers adjust prices to reach the product efficiency frontier in the Spanish automobile market," Omega, Elsevier, vol. 51(C), pages 38-48.

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